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Entry Level Data Science Insurance Jobs (NOW HIRING)

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

New

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... insurance use cases via statistical applications such as R or Python Efficiently access data via ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... to execute health insurance use cases via statistical applications such as R or Python • ...

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All Jobsinsurance Jobsdata science JobsEntry Level Data Science Insurance Jobs

Entry Level Data Science Insurance information

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$10

$19

$26

How much do entry level data science insurance jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level data science insurance in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Science Insurance vs Entry Level Actuarial Analyst?

AspectEntry Level Data Science InsuranceEntry Level Actuarial Analyst
Required CredentialsBasic programming, statistics, and data analysis skills; often a bachelor's degree in data science, statistics, or related fieldsActuarial exams, strong mathematics, statistics, and finance knowledge; typically a bachelor's degree in mathematics, statistics, or actuarial science
Work EnvironmentData analysis, modeling, and predictive analytics within insurance companies or consulting firmsCalculations, risk assessment, and financial modeling primarily in insurance companies or consulting firms
Industry UsageGrowing use of data science techniques in insurance for customer insights and risk modelingTraditional actuarial work focused on risk assessment, pricing, and reserving

While both roles involve working in the insurance industry, Entry Level Data Science Insurance focuses on data analysis and predictive modeling using programming skills, whereas Entry Level Actuarial Analyst emphasizes mathematical modeling and risk assessment through actuarial exams and finance knowledge.

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The most popular types of Data Science Insurance jobs are:

What states have the most Entry Level Data Science Insurance jobs?

States with the most job openings for Entry Level Data Science Insurance jobs include:

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Entry Level Data Science Insurance jobs near you
Infographic showing various Entry Level Data Science Insurance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Entry Level Data Scientist

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 28 days ago

Job description

Job description
Required Skills
Excellent analytical, written and verbal communication skills
Required Experience
Must have Mathematics or Statistics background Technical and Soft Skills Required Experience in Python programming and understanding of the software development life cycle Knowledge of Linear Algebra, Statistics, and Mathematics concepts
Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems
Assess project requirements and develop data analysis algorithms
Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables
Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets
Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems

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